Dennis Prangle

1.7k total citations
17 papers, 795 citations indexed

About

Dennis Prangle is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Dennis Prangle has authored 17 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Dennis Prangle's work include Markov Chains and Monte Carlo Methods (12 papers), Bayesian Methods and Mixture Models (7 papers) and Gaussian Processes and Bayesian Inference (7 papers). Dennis Prangle is often cited by papers focused on Markov Chains and Monte Carlo Methods (12 papers), Bayesian Methods and Mixture Models (7 papers) and Gaussian Processes and Bayesian Inference (7 papers). Dennis Prangle collaborates with scholars based in United Kingdom, Australia and France. Dennis Prangle's co-authors include Paul Fearnhead, Scott A. Sisson, Michaël G. B. Blum, Matthew A. Nunes, Theodore Kypraios, Ceri Falys, Peter Neal, Gordana Popović, Nigel French and Patrick J. Biggs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Applications and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Dennis Prangle

16 papers receiving 777 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dennis Prangle United Kingdom	10	453	420	84	84	73	17	795
Pierre Jacob France	17	345 0.8×	352 0.8×	30 0.4×	24 0.3×	53 0.7×	67	918
Andrew Golightly United Kingdom	12	200 0.4×	228 0.5×	272 3.2×	77 0.9×	90 1.2×	37	735
Jean–Michel Loubes France	16	195 0.4×	144 0.3×	34 0.4×	9 0.1×	40 0.5×	82	840
Béatrice Laurent France	15	357 0.8×	264 0.6×	138 1.6×	49 0.6×	235 3.2×	48	1.1k
Jaeyong Lee South Korea	14	353 0.8×	242 0.6×	69 0.8×	29 0.3×	30 0.4×	66	662
M. N. M. van Lieshout Netherlands	18	188 0.4×	274 0.7×	96 1.1×	13 0.2×	9 0.1×	51	1.3k
Jayanta Kumar Ghosh India	16	226 0.5×	127 0.3×	59 0.7×	147 1.8×	62 0.8×	63	828
Arthur Pewsey Spain	22	684 1.5×	449 1.1×	68 0.8×	46 0.5×	206 2.8×	47	1.3k
Natesh S. Pillai United States	17	716 1.6×	515 1.2×	141 1.7×	106 1.3×	105 1.4×	38	1.3k
Andreas Ipsen United Kingdom	7	243 0.5×	243 0.6×	341 4.1×	116 1.4×	84 1.2×	9	1.0k

Countries citing papers authored by Dennis Prangle

Since Specialization

Citations

This map shows the geographic impact of Dennis Prangle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dennis Prangle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Prangle more than expected).

Fields of papers citing papers by Dennis Prangle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis Prangle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dennis Prangle. The network helps show where Dennis Prangle may publish in the future.

Co-authorship network of co-authors of Dennis Prangle

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Prangle. A scholar is included among the top collaborators of Dennis Prangle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dennis Prangle. Dennis Prangle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Prangle, Dennis, et al.. (2023). Distilling Importance Sampling for Likelihood Free Inference. Journal of Computational and Graphical Statistics. 32(4). 1461–1471.

Prangle, Dennis, et al.. (2022). Bayesian Experimental Design Without Posterior Calculations: An Adversarial Approach. Bayesian Analysis. 18(1). 2 indexed citations

Helm, P., et al.. (2021). Emulating computer experiments of transport infrastructure slope stability using Gaussian processes and Bayesian inference. SHILAP Revista de lepidopterología. 2. 8 indexed citations

Prangle, Dennis, et al.. (2021). Optimising Fairness Through Parametrised Data Sampling. Movebank. 1 indexed citations

Prangle, Dennis, et al.. (2018). Recalibration: A post-processing method for approximate Bayesian computation. Computational Statistics & Data Analysis. 126. 53–66. 7 indexed citations

Prangle, Dennis, Richard G. Everitt, & Theodore Kypraios. (2017). A rare event approach to high-dimensional approximate Bayesian computation. Statistics and Computing. 28(4). 819–834. 12 indexed citations

Prangle, Dennis, et al.. (2017). Taking error into account when fitting models using Approximate Bayesian Computation. Ecological Applications. 28(2). 267–274. 9 indexed citations

Kypraios, Theodore, Peter Neal, & Dennis Prangle. (2016). A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation. Mathematical Biosciences. 287. 42–53. 60 indexed citations

Prangle, Dennis, et al.. (2015). abctools: An R Package for Tuning Approximate Bayesian Computation Analyses. The R Journal. 7(2). 189–189. 34 indexed citations

10.

Falys, Ceri & Dennis Prangle. (2014). Estimating age of mature adults from the degeneration of the sternal end of the clavicle. American Journal of Physical Anthropology. 156(2). 203–214. 42 indexed citations

11.

Prangle, Dennis. (2014). Lazy ABC. Statistics and Computing. 26(1-2). 171–185. 20 indexed citations

12.

Prangle, Dennis, Michaël G. B. Blum, Gordana Popović, & Scott A. Sisson. (2014). Diagnostic tools for approximate Bayesian computation using the coverage property. Australian & New Zealand Journal of Statistics. 56(4). 309–329. 31 indexed citations

13.

Prangle, Dennis, Paul Fearnhead, Murray P. Cox, Patrick J. Biggs, & Nigel French. (2013). Semi-automatic selection of summary statistics for ABC model choice. Statistical Applications in Genetics and Molecular Biology. 13(1). 67–82. 37 indexed citations

14.

Blum, Michaël G. B., Matthew A. Nunes, Dennis Prangle, & Scott A. Sisson. (2013). A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation. Statistical Science. 28(2). 196 indexed citations

15.

Fearnhead, Paul & Dennis Prangle. (2012). Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation. Journal of the Royal Statistical Society Series B (Statistical Methodology). 74(3). 419–474. 303 indexed citations

16.

Fearnhead, Paul & Dennis Prangle. (2012). Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation (with Discussion). Lancaster EPrints (Lancaster University). 24 indexed citations

17.

Fearnhead, Paul & Dennis Prangle. (2010). Semi-automatic Approximate Bayesian Computation. arXiv (Cornell University). 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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